sWSN3: A simulation tool for reliability calculation in WSN
Vol. 15 No. 30 (2023), Natural Sciences and Engineering
Vol. 15 No. 30 (2023)

sWSN3: A simulation tool for reliability calculation in WSN

Natural Sciences and Engineering
https://doi.org/10.21640/ns.v15i30.3159
Published 2023-04-27
Teth Azrael Cortés Aguilar
CIATEQ
https://orcid.org/0000-0003-3005-0300
José Antonio Cantoral Ceballos
Instituto Tecnológico y de Estudios Superiores de Monterrey
https://orcid.org/0000-0001-5597-939X
Adriana Tovar Arriaga
José Mario Molina Pasquel y Henríquez Technological Institute
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Keywords

redes de sensores inalámbricos
confiabilidad de redes de telecomunicaciones
sistemas ciber-físicos
industria
software
parámetros
energía
confiabilidad
optimización
recursos wireless sensor networks
telecommunication network reliability
cyber-physical systems
industry
software
parameters
energy
reliability
optimization
resources

How to Cite

Cortés Aguilar, T. A., Cantoral Ceballos , J. A., & Tovar Arriaga, A. (2023). sWSN3: A simulation tool for reliability calculation in WSN. Nova Scientia, 15(30), 1–15. https://doi.org/10.21640/ns.v15i30.3159
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Abstract

Knowledge about the reliability of a wireless sensor network is important in industry. Indeed, in holonic manufacturing, it is convenient to ensure that decisions are made with reliable data. However, experimental evaluation in a real environment is a task that consumes time and financial resources, it also depends on several factors such as the technical characteristics of the transceiver and the location of the nodes. Thus, the use of simulation and calculation software in Industry 4.0 can potentially reduce costs and implementation time significantly, nonetheless some simulators deal with power consumption and network reliability with theoretical models that have limitations for commercial devices. This paper presents the sWSN3 tool that, through an intuitive graphical interface allows placing sensor nodes on the virtual environment of a plant layout and calculates the reliability of a wireless sensor network using parameters such as signal to noise ratio, received packet rate, and battery life time. Results show that sWSN3 can accurately estimate the reliability of a virtual WSN.

https://doi.org/10.21640/ns.v15i30.3159
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